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Données administratives

Ayberk Ozkirli

ayberk.ozkirli@epfl.ch +41 21 693 53 44

EPFL STI INX-STI MIPLAB
H4 3 141.080 (Campus Biotech Bâtiment H4)
Ch. des Mines 9
CH-1202 Genève

Expertise

Magnetic resonance imaging (MRI), visual crowding, serial dependence, population receptive field (pRF) mapping, data analysis, machine learning, age-related macular degeneration, neuroengineering, clinical neuroscience

Expertise

Magnetic resonance imaging (MRI), visual crowding, serial dependence, population receptive field (pRF) mapping, data analysis, machine learning, age-related macular degeneration, neuroengineering, clinical neuroscience

Formation

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2020 – 2025 EPFL, Switzerland
Dirigée par Prof. Michael Herzog & David Pascucci

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2018 – 2020 EPFL, Switzerland

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2013 – 2018 Bilkent University, Turkey

Prix et distinctions

EPFL

2025

EPFL

2025

PhD oral exam jury

2025

Bilkent University

2018

Publications représentatives

Large-scale mega-analysis indicates that serial dependence deteriorates perceptual decision-making.

Ayberk Ozkirli
Published in Nature Human Behavior in 2025

Computational complexity as a potential limitation on brain–behaviour mapping.

Ayberk Ozkirli
Published in European Journal of Neuroscience in 2025

Failure to replicate a superiority effect in crowding.

Ayberk Ozkirli
Published in Nature Communications in 2026

Serial dependence in visual perception: A review

Ayberk Ozkirli
Published in Journal of Vision in 2023